Evan Paull

14.5k total citations
17 papers, 664 citations indexed

About

Evan Paull is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Evan Paull has authored 17 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 4 papers in Cancer Research. Recurrent topics in Evan Paull's work include Bioinformatics and Genomic Networks (9 papers), Gene expression and cancer classification (6 papers) and Computational Drug Discovery Methods (5 papers). Evan Paull is often cited by papers focused on Bioinformatics and Genomic Networks (9 papers), Gene expression and cancer classification (6 papers) and Computational Drug Discovery Methods (5 papers). Evan Paull collaborates with scholars based in United States, Spain and China. Evan Paull's co-authors include Joshua M. Stuart, Artem Sokolov, Peter K. Sorger, Mario Niepel, David Haussler, Andrea Califano, Robert Baertsch, Christopher K. Wong, Yulia Newton and John K. Lee and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Evan Paull

17 papers receiving 661 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Evan Paull United States	11	512	188	125	79	75	17	664
Ratna R. Thangudu United States	12	591 1.2×	137 0.7×	86 0.7×	93 1.2×	90 1.2×	15	803
Emanuel Gonçalves United Kingdom	17	757 1.5×	179 1.0×	56 0.4×	84 1.1×	131 1.7×	31	940
Pau Creixell United States	12	643 1.3×	165 0.9×	43 0.3×	104 1.3×	88 1.2×	17	802
Alessandra Silvestri Italy	14	539 1.1×	132 0.7×	51 0.4×	44 0.6×	212 2.8×	20	718
Fumi Kinose United States	17	595 1.2×	146 0.8×	157 1.3×	47 0.6×	265 3.5×	26	857
Joachim Baran United Kingdom	6	569 1.1×	227 1.2×	63 0.5×	38 0.5×	77 1.0×	7	724
Marko Laakso Finland	13	621 1.2×	191 1.0×	318 2.5×	48 0.6×	115 1.5×	20	924
Gregory Ryslik United States	7	556 1.1×	226 1.2×	52 0.4×	80 1.0×	46 0.6×	8	664
Hsin-Ta Wu United States	4	663 1.3×	322 1.7×	84 0.7×	71 0.9×	77 1.0×	4	817
Bhairavi Tolani United States	14	390 0.8×	123 0.7×	117 0.9×	64 0.8×	226 3.0×	18	743

Countries citing papers authored by Evan Paull

Since Specialization

Citations

This map shows the geographic impact of Evan Paull's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Evan Paull with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evan Paull more than expected).

Fields of papers citing papers by Evan Paull

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evan Paull. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Evan Paull. The network helps show where Evan Paull may publish in the future.

Co-authorship network of co-authors of Evan Paull

This figure shows the co-authorship network connecting the top 25 collaborators of Evan Paull. A scholar is included among the top collaborators of Evan Paull based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Evan Paull. Evan Paull is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Paull, Evan, Phani Ghanakota, Jackson Chief Elk, et al.. (2025). Predicting Resistance to Small Molecule Kinase Inhibitors. Journal of Chemical Information and Modeling. 65(5). 2543–2557. 1 indexed citations

Worley, Jeremy, Daoqi You, Mikko Turunen, et al.. (2024). Abstract PR01: Identification and pharmacological targeting of treatment-resistant, stem-like breast cancer cells for combination therapy. Cancer Research. 84(3_Supplement_1). PR01–PR01. 1 indexed citations

Wu, Yin, Min Ye, Evan Paull, et al.. (2023). Sgr-1505 Is a Potent MALT1 Protease Inhibitor with a Potential Best-in-Class Profile. Blood. 142(Supplement 1). 2997–2997. 2 indexed citations

Paull, Evan, Àlvaro Aytés, Sunny J. Jones, et al.. (2021). A modular master regulator landscape controls cancer transcriptional identity. Cell. 184(2). 334–351.e20. 56 indexed citations

Simpson, David R., Diana Murray, Evan Paull, et al.. (2020). Oncoprotein-specific molecular interaction maps (SigMaps) for cancer network analyses. Nature Biotechnology. 39(2). 215–224. 17 indexed citations

Arumugam, K., Lukas Vlahos, Davide Carnevali, et al.. (2020). The Master Regulator Protein BAZ2B Can Reprogram Human Hematopoietic Lineage-Committed Progenitors into a Multipotent State. Cell Reports. 33(10). 108474–108474. 19 indexed citations

Khatamian, Alireza, Evan Paull, Andrea Califano, & Jiyang Yu. (2018). SJARACNe: a scalable software tool for gene network reverse engineering from big data. Bioinformatics. 35(12). 2165–2166. 28 indexed citations

Chiu, Hua‐Sheng, María Rodríguez Martínez, Elena V. Komissarova, et al.. (2018). The number of titrated microRNA species dictates ceRNA regulation. Nucleic Acids Research. 46(9). 4354–4369. 33 indexed citations

Paull, Evan, Kiley Graim, Christopher K. Wong, et al.. (2017). Prophetic Granger Causality to infer gene regulatory networks. PLoS ONE. 12(12). e0170340–e0170340. 6 indexed citations

10.

Niepel, Mario, Marc Hafner, Qiaonan Duan, et al.. (2017). Common and cell-type specific responses to anti-cancer drugs revealed by high throughput transcript profiling. Nature Communications. 8(1). 1186–1186. 68 indexed citations

11.

Graim, Kiley, Achal S. Achrol, Evan Paull, et al.. (2017). Revealing cancer subtypes with higher-order correlations applied to imaging and omics data. BMC Medical Genomics. 10(1). 20–20. 10 indexed citations

12.

Sokolov, Artem, et al.. (2016). Pathway-Based Genomics Prediction using Generalized Elastic Net. PLoS Computational Biology. 12(3). e1004790–e1004790. 74 indexed citations

13.

Drake, Justin M., Evan Paull, Nicholas A. Graham, et al.. (2016). Phosphoproteome Integration Reveals Patient-Specific Networks in Prostate Cancer. Cell. 166(4). 1041–1054. 149 indexed citations

14.

Hafner, Marc, Mario Niepel, Qiaonan Duan, et al.. (2016). Abstract 788: Transcriptional landscape of drug response guides the design of potent and synergistic drug combinations. Cancer Research. 76(14_Supplement). 788–788. 1 indexed citations

15.

Sokolov, Artem, Evan Paull, & Joshua M. Stuart. (2015). ONE-CLASS DETECTION OF CELL STATES IN TUMOR SUBTYPES. PubMed. 21. 405–416. 55 indexed citations

16.

Paull, Evan, et al.. (2013). Discovering causal pathways linking genomic events to transcriptional states using Tied Diffusion Through Interacting Events (TieDIE). Bioinformatics. 29(21). 2757–2764. 133 indexed citations

17.

Goldstein, Theodore C., Evan Paull, Matthew J. Ellis, & Joshua M. Stuart. (2013). Molecular Pathways: Extracting Medical Knowledge from High-Throughput Genomic Data. Clinical Cancer Research. 19(12). 3114–3120. 11 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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